[go: up one dir, main page]

WO2018201849A1 - Procédé d'acquisition optique d'empreintes digitales, et produit associé - Google Patents

Procédé d'acquisition optique d'empreintes digitales, et produit associé Download PDF

Info

Publication number
WO2018201849A1
WO2018201849A1 PCT/CN2018/082212 CN2018082212W WO2018201849A1 WO 2018201849 A1 WO2018201849 A1 WO 2018201849A1 CN 2018082212 W CN2018082212 W CN 2018082212W WO 2018201849 A1 WO2018201849 A1 WO 2018201849A1
Authority
WO
WIPO (PCT)
Prior art keywords
mobile terminal
ambient light
light source
intensity
fingerprint
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2018/082212
Other languages
English (en)
Chinese (zh)
Inventor
周意保
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to EP18793987.1A priority Critical patent/EP3591579A4/fr
Publication of WO2018201849A1 publication Critical patent/WO2018201849A1/fr
Priority to US16/584,959 priority patent/US10963660B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B5/00—Optical elements other than lenses
    • G02B5/20—Filters
    • G02B5/208—Filters for use with infrared or ultraviolet radiation, e.g. for separating visible light from infrared and/or ultraviolet radiation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/141—Control of illumination
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/143—Sensing or illuminating at different wavelengths
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145—Illumination specially adapted for pattern recognition, e.g. using gratings
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture

Definitions

  • the present invention relates to the field of mobile terminal technologies, and in particular, to an optical fingerprint collection method and related products.
  • mobile terminals such as smart phones
  • mobile phones generally use fingerprint recognition technology, and fingerprint recognition can be used for various aspects such as unlocking of mobile terminals and mobile payment.
  • the optical fingerprint recognition module generally includes a light source and an optical fingerprint detection module.
  • the imaging principle of optical fingerprint recognition is as follows: the light source emits light, the light passes through the surface of the display screen pressed with the fingerprint, and then is reflected to the optical fingerprint recognition module, and the optical fingerprint recognition module receives the reflected light and converts it into fingerprint data for processing, thereby forming a fingerprint image.
  • the fingerprint matching principle is: the optical fingerprint identification module matches the formed fingerprint image with the pre-stored fingerprint image to obtain a matching result.
  • the reflected light received by the optical fingerprint recognition module is easily affected by ambient light, which causes deviations in the collected fingerprint data and affects the fingerprint matching result.
  • the embodiment of the invention provides an optical fingerprint collection method and related products, which can improve the accuracy of the fingerprint data collected by the optical fingerprint.
  • a first aspect of the embodiments of the present invention provides an optical fingerprint collection method, which is applied to a mobile terminal including an application processor AP, an optical sensor, and an optical fingerprint recognition module, where the optical fingerprint recognition module includes an internal light source, and the method includes :
  • the mobile terminal controls the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and send the light intensity of the at least two frequencies to the Said AP;
  • the mobile terminal determines, by the AP, a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies;
  • the mobile terminal controls the internal light source of the optical fingerprint recognition module to collect fingerprint data at the target frequency.
  • a second aspect of the present invention provides a mobile terminal, including an application processor AP, an optical sensor, and an optical fingerprint recognition module, where the optical fingerprint recognition module includes an internal light source, where
  • the optical sensor is configured to: when the mobile terminal receives the fingerprint collection instruction, detect an ambient light intensity of at least two frequencies in the current ambient light, and send the light intensity of the at least two frequencies to the AP ;
  • the AP is configured to determine a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies;
  • the optical fingerprint identification module is configured to control the internal light source to collect fingerprint data at the target frequency.
  • a third aspect of the present invention provides a mobile terminal, including an application processor AP, an optical sensor, and an optical fingerprint recognition module and a memory, and one or more programs, wherein the optical fingerprint recognition module includes an internal light source;
  • the one or more programs are stored in the memory and are configured to be executed by the AP, the program including instructions for performing the following steps:
  • controlling the optical sensor When receiving the fingerprint acquisition instruction, controlling the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and transmitting the light intensity of the at least two frequencies to the AP;
  • a fourth aspect of the embodiments of the present invention provides an optical fingerprint collection device, which is applied to a mobile terminal including an application processor AP, an optical sensor, and an optical fingerprint recognition module, wherein the optical fingerprint recognition module includes an internal light source, and the optical collection
  • the device comprises a detecting unit, a determining unit and a collecting unit, wherein:
  • a detecting unit configured to: when the mobile terminal receives the fingerprint collection instruction, control the optical sensor to detect ambient light intensity of at least two frequencies in current ambient light, and send the light intensity of the at least two frequencies to The AP;
  • a determining unit configured to use a target frequency whose ambient light intensity is the weakest among the ambient light intensities of the at least two frequencies
  • an acquisition unit configured to control the internal light source of the optical fingerprint recognition module to collect fingerprint data at the target frequency.
  • a fifth aspect of embodiments of the present invention provides a computer readable storage medium for storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform a first aspect of an embodiment of the present invention Some or all of the steps described in either method.
  • a sixth aspect of the embodiments of the present invention provides a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform an embodiment of the present invention
  • the internal light source of the optical fingerprint recognition module no longer performs fingerprint collection at the same frequency, but according to the ambient light intensity of different frequencies in the ambient light.
  • the influence of ambient light on the optical fingerprint collection can be reduced, and the accuracy of the fingerprint data collected by the optical fingerprint can be improved.
  • FIG. 1a is a schematic diagram showing the working principle of an optical fingerprint identification module according to an embodiment of the present invention
  • FIG. 1b is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • 1c is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • FIG. 1 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • 1e is a schematic structural diagram of a fingerprint identification area according to an embodiment of the present invention.
  • FIG. 2 is a schematic flow chart of an optical fingerprint collection method according to an embodiment of the present invention.
  • FIG. 3 is a schematic flow chart of another optical fingerprint collection method according to an embodiment of the present invention.
  • FIG. 4 is a schematic flow chart of another optical fingerprint collection method according to an embodiment of the present invention.
  • FIG. 5 is a schematic flowchart diagram of another optical fingerprint collection method according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • FIG. 7 is a schematic structural diagram of an optical fingerprint collection device according to an embodiment of the present invention.
  • FIG. 8 is a schematic structural diagram of still another mobile terminal according to an embodiment of the present invention.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the mobile terminal involved in the embodiments of the present invention may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user equipment (User Equipment, UE), mobile station (MS), terminal device, and the like.
  • UE User Equipment
  • MS mobile station
  • terminal device and the like.
  • the devices mentioned above are collectively referred to as mobile terminals.
  • FIG. 1a is a schematic diagram of the working principle of the optical fingerprint identification module disclosed in the embodiment of the present invention.
  • the touch display screen 110 and the optical fingerprint recognition module 120 are included.
  • the optical fingerprint recognition module 120 includes an internal light source 121 and a detection device 122, and the detection device 122 can be an CCD array of electrical coupling devices.
  • the optical fingerprinting module 120 can include at least one internal light source 121 and at least one detecting device 122.
  • the internal light source 121 can emit incident light, and the incident light is reflected by the surface of the touch display screen and the finger, and the reflected light is received by the detecting device 122 and converted into electrical signal data, and the optical fingerprint recognition module 120 can identify according to the total reflection principle. Which incident light is in contact with the raised portion of the fingerprint (the ridge of the fingerprint), and which incident optics are in contact with the depression of the fingerprint (the valley of the fingerprint).
  • the ridge of the fingerprint is in contact with the surface of the touch display screen, and the valley of the fingerprint is not in contact with the surface of the touch display screen.
  • the optical fingerprint recognition module 120 generates incident light rays that are incident on the valley of the fingerprint, the incident light is irradiated on the surface of the touch display screen that is in contact with the air. At this time, by designing the incident angle of the incident light, the incident light is totally reflected.
  • the optical fingerprint recognition module 120 can Received strong total reflection light.
  • the optical fingerprint recognition module 120 generates incident light to illuminate the ridge of the fingerprint, the incident light illuminates the surface of the touch display screen that is in contact with the finger fingerprint protrusion. At this time, the incident light is irradiated on the convex portion of the finger to emit the diffuse. Reflecting, at this time, the optical fingerprint recognition module 120 can receive weak diffuse reflection light.
  • the optical fingerprint recognition module 120 can form a fingerprint image according to the strength of the received emitted light. Since the refractive index of the material of the touch display screen is greater than the refractive index of the air, the ambient light easily enters the optical fingerprint recognition module through the touch display screen, which may interfere with the reflected light received by the optical fingerprint recognition module.
  • FIG. 1b is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • the mobile terminal 100 includes an application processor (AP) 101, an optical sensor 102, and an optical fingerprint.
  • the identification module 103, the optical fingerprint recognition module 103 includes an internal light source 1031 (not shown in FIG. 1b), wherein the AP 101 passes through the bus 104 optical sensor 102 and the optical fingerprint recognition module 103.
  • the optical sensor 102 is configured to detect an ambient light intensity of at least two frequencies in the current ambient light when the mobile terminal receives the fingerprint collection instruction, and send the light intensity of the at least two frequencies to the AP 101.
  • the fingerprint collection instruction may be input by the user, or may be generated by the user touching the touch display screen, and the touch display screen sends the fingerprint collection instruction to the AP 101 of the mobile terminal.
  • the optical sensor 102 detects the ambient light intensity of at least two frequencies in the current ambient light, and transmits the light intensity of the at least two frequencies to the AP 101.
  • the optical sensor 102 can detect ambient light intensities of at least two different frequencies, for example, an ambient light intensity of red light having a wavelength of 630 nm and an ambient light intensity of green light having a wavelength of 520 nm in current ambient light can be detected.
  • the ambient light intensity of the plurality of different frequencies can be detected by the optical sensor 102, and the influence of the light of a certain frequency band in the ambient light on the fingerprint data collected by the optical fingerprint recognition module 103 can be reduced.
  • the AP 101 is configured to determine a target frequency in which the ambient light intensity is the weakest among the ambient light intensities of the at least two frequencies.
  • the optical fingerprint identification module 103 is configured to control the internal light source to collect fingerprint data at a target frequency.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, which can minimize the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module 103, thereby improving the fingerprint of the optical fingerprint collection.
  • the accuracy of the data is the accuracy of the data.
  • the AP 101 is further configured to determine the weakest ambient light intensity of the ambient light intensity of the at least two frequencies.
  • the AP 101 is further configured to acquire a target light source intensity corresponding to the weakest ambient light intensity according to a correspondence between ambient light intensity and light source intensity.
  • the optical fingerprint identification module 103 controls the internal light source to collect fingerprint data at a target frequency, specifically:
  • the optical fingerprint recognition module 103 controls the internal light source to collect fingerprint data at the target frequency and the target light source intensity.
  • the optical sensor 102 detects that the intensity of the ambient light of the first frequency in the ambient light is 100, the intensity of the ambient light of the second frequency is 150, and the intensity of the ambient light of the third frequency is 200, and the weakest ambient light For ambient light at the first frequency, the weakest ambient light intensity is 100. After determining that the weakest ambient light intensity is 100, the AP 101 obtains the target light source intensity corresponding to the weakest ambient light intensity according to the correspondence between the ambient light intensity and the light source intensity.
  • the correspondence between the ambient light intensity and the light source intensity may be stored in advance in a memory (eg, a non-volatile memory) of the mobile terminal.
  • a memory eg, a non-volatile memory
  • the correspondence between the ambient light intensity and the intensity of the light source is positively correlated.
  • the greater the ambient light intensity, the greater the intensity of the corresponding light source, and the corresponding light source intensity is greater than the ambient light intensity.
  • the correspondence between the external ambient light intensity and the light source intensity may be set to a certain proportional relationship, for example, the correspondence between the external ambient light intensity and the light source intensity is 1 to 4. For example, if the ambient light intensity is 50, the corresponding light source intensity is 200, and if the ambient light intensity is 100, the corresponding light source intensity is 400.
  • the values of the above light intensities are all normalized according to the same standard.
  • the external ambient light intensity can be understood as noise.
  • the light intensity emitted by the internal light source 1031 is required to be much greater than the ambient light intensity to ensure the accuracy of the collected fingerprint data.
  • the greater the difference between the ambient light intensity and the light intensity emitted by the internal light source 1031 the higher the accuracy of the fingerprint data collected by the optical fingerprint recognition module 103.
  • the light intensity emitted by the internal light source 1031 is generally adjusted to the maximum when the ambient light intensity is strong.
  • the AP101 determines that the weakest ambient light intensity of the three frequencies is 100, and obtains the intensity of the target light source corresponding to the weakest ambient light intensity 100 according to the correspondence between the ambient light intensity and the light source intensity.
  • the optical fingerprint recognition module 103 controls the internal light source to emit light having a wavelength of 630 nm and an intensity of 400 to collect fingerprint data. The intensity and frequency of the light emitted by the internal light source of the optical fingerprint recognition module 103 can minimize the interference of ambient light, thereby improving the accuracy of the fingerprint data collected by the optical fingerprint.
  • the AP 101 is further configured to determine whether the fingerprint data matches the preset fingerprint template data.
  • the AP 101 is further configured to determine that the fingerprint is verified when the fingerprint data matches the preset fingerprint template data.
  • the target fingerprint template data may be pre-stored in a non-volatile memory of the mobile terminal.
  • the preset fingerprint template data can be collected in advance through the optical fingerprint recognition module.
  • the AP 101 is further configured to determine whether the total intensity of the ambient light is less than a preset strength.
  • the AP 101 is further configured to detect whether the current time is in a preset night time interval when the total intensity of the current ambient light is less than a preset intensity.
  • the optical fingerprint identification module 103 is further configured to control the internal light source to collect fingerprint data at a target frequency when the current time is in the preset black night time interval.
  • the preset intensity may be preset and stored in a non-volatile memory of the mobile terminal, and the preset intensity may be set to the brightness at dusk.
  • the preset night time interval here can be from 19:00 to 6:00.
  • the optical fingerprint recognition module 103 controls the internal light source to collect fingerprint data at a target frequency.
  • the mobile terminal further includes a gyroscope 105.
  • the gyro 105 is configured to measure the angular velocity of the mobile terminal when the current time is not in the preset black time interval.
  • the AP 101 is further configured to: when the gyro 105 detects that the angular velocity of the mobile terminal is greater than the preset angular velocity, refuses to perform the step of controlling the internal light source of the optical fingerprint recognition module 103 to collect the fingerprint data at the target frequency.
  • the optical fingerprint recognition module 103 is further configured to: when the gyro 105 detects that the angular velocity of the mobile terminal is less than or equal to the preset angular velocity, refuses to perform the step of controlling the internal light source of the optical fingerprint recognition module 103 to collect fingerprint data.
  • the gyroscope 105 measures the angular velocity of the mobile terminal to determine whether the mobile terminal is in motion, if the current time is During the daytime, when the mobile terminal is in motion and the current ambient light intensity is low, the mobile terminal can be considered to be in the user's pocket or bag, and the fingerprint collection command received by the mobile terminal is triggered by a large possibility, and the AP 101 refuses to perform fingerprint collection. instruction.
  • the embodiment of the present invention can determine whether the fingerprint collection instruction received by the mobile terminal is caused by a false trigger when the currently measured ambient light intensity does not match the current time, and refuses to perform fingerprint collection when it is determined that the false trigger is caused. instruction.
  • the fingerprint collection can be prevented from being triggered by mistake, and the internal light source of the optical fingerprint recognition module 103 does not need to be triggered to work, thereby saving the power consumption of the optical fingerprint recognition module 103.
  • the mobile terminal further includes a touch display screen 106.
  • the fingerprint identification area of the optical fingerprint recognition module is located in the first area of the touch display screen 106, and the fingerprint collection instruction is generated based on the touch display screen 106 detecting the touch operation of the user for the first area.
  • the first area may be any preset area of the touch screen display 106.
  • the preset area may be located on the upper left side of the touch display screen 106 (as shown in FIG. 1 e ), the upper side, the lower side, and the left side. In any position such as the right side, the size of the preset area is such that the fingerprint area of the finger can be covered.
  • the shape of the predetermined area may be any shape such as a circular shape, an elliptical shape, a quadrangular shape (for example, a rectangular shape), a finger fingerprint shape, and the like, which is not limited by the embodiment of the present invention.
  • the touch display screen 106 in the embodiment of the invention may be a Thin Film Transistor-Liquid Crystal Display (TFT-LCD), a Light Emitting Diode (LED) display, or an Organic Light-emitting diode (Organic Light- Emitting Diode, OLED) display, etc.
  • TFT-LCD Thin Film Transistor-Liquid Crystal Display
  • LED Light Emitting Diode
  • OLED Organic Light-emitting diode
  • the touch display screen 106 in the embodiment of the present invention may include a touch screen and a display screen, and the touch screen and the display screen are stacked, and the display screen is disposed on the lower side of the touch screen.
  • the internal light source of the optical fingerprint recognition module when the AP performs fingerprint collection, no longer performs fingerprint collection at the same frequency, but adjusts the internal light source according to the ambient light intensity of different frequencies in the ambient light.
  • the working frequency can reduce the influence of ambient light on optical fingerprint collection and improve the accuracy of fingerprint data collected by optical fingerprints.
  • FIG. 2 is a schematic flowchart diagram of an optical fingerprint collection method according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an application processor AP, an optical sensor, and an optical fingerprint recognition module.
  • the optical fingerprint recognition module includes an internal light source. As shown in FIG. 2, the method includes the following steps.
  • the mobile terminal controls the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and sends the light intensity of the at least two frequencies to the AP.
  • the mobile terminal determines, by the AP, a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies.
  • the mobile terminal controls an internal light source of the optical fingerprint recognition module to collect fingerprint data at a target frequency.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, thereby minimizing the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module, thereby Improve the accuracy of fingerprint data collected by optical fingerprints.
  • FIG. 3 is a schematic flowchart diagram of another optical fingerprint collection method according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an application processor AP, an optical sensor, and an optical fingerprint recognition module.
  • the optical fingerprint recognition module includes an internal light source. As shown in FIG. 3, the method includes the following steps.
  • the mobile terminal controls the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and sends the light intensity of the at least two frequencies to the AP.
  • the mobile terminal determines, by the AP, a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies.
  • the mobile terminal determines, by the AP, the weakest ambient light intensity of the ambient light intensities of the at least two frequencies.
  • the mobile terminal acquires the target light source intensity corresponding to the weakest ambient light intensity according to the correspondence between the external ambient light intensity and the light source intensity by the AP.
  • the mobile terminal controls the internal light source of the optical fingerprint recognition module to collect fingerprint data by using the target frequency and the target light source intensity.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, and determines the intensity of the light emitted by the internal light source according to the light intensity of the weakest frequency in the ambient light.
  • the influence of external ambient light on the fingerprint data collected by the optical fingerprint recognition module can be minimized, thereby improving the accuracy of the fingerprint data collected by the optical fingerprint.
  • FIG. 4 is a schematic flowchart diagram of another optical fingerprint collection method according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an application processor AP, an optical sensor, an optical fingerprint recognition module, and a gyroscope.
  • the optical fingerprint recognition module includes an internal light source. As shown in FIG. 4, the method includes the following steps.
  • the mobile terminal controls the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and sends the light intensity of the at least two frequencies to the AP.
  • the mobile terminal determines, by the AP, a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies.
  • the mobile terminal determines, by the AP, the weakest ambient light intensity of the ambient light intensities of the at least two frequencies.
  • the mobile terminal obtains the target light source intensity corresponding to the weakest ambient light intensity according to the correspondence between the external ambient light intensity and the light source intensity by the AP.
  • the mobile terminal controls an internal light source of the optical fingerprint recognition module to collect fingerprint data by using a target frequency and a target light source intensity.
  • the mobile terminal determines, by the AP, whether the fingerprint data matches the preset fingerprint template data. If yes, go to step 407; if not, go to step 408.
  • the mobile terminal determines to pass the fingerprint verification.
  • the mobile terminal determines not to pass the fingerprint verification.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, and determines the intensity of the light emitted by the internal light source according to the light intensity of the weakest frequency in the ambient light.
  • the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module can be minimized, the accuracy of the fingerprint data collected by the optical fingerprint can be improved, and the optical fingerprint matching success rate can be improved.
  • FIG. 5 is a schematic flowchart diagram of another optical fingerprint collection method according to an embodiment of the present invention.
  • the method is applied to a mobile terminal including an application processor AP, an optical sensor, an optical fingerprint recognition module, and a gyroscope.
  • the optical fingerprint recognition module includes an internal light source. As shown in FIG. 5, the method includes the following steps.
  • the mobile terminal controls the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and sends the light intensity of the at least two frequencies to the AP.
  • the mobile terminal determines, by the AP, a target frequency that is the weakest ambient light intensity among the ambient light intensities of the at least two frequencies.
  • the mobile terminal determines, by the AP, the weakest ambient light intensity of the ambient light intensities of the at least two frequencies.
  • the mobile terminal obtains the target light source intensity corresponding to the weakest ambient light intensity according to the correspondence between the external ambient light intensity and the light source intensity by the AP.
  • the mobile terminal determines, by the AP, whether the total intensity of the current ambient light is less than a preset strength.
  • the mobile terminal detects, by the AP, whether the current time is in a preset black time interval. If yes, go to step 509. If no, go to step 507.
  • the mobile terminal measures an angular velocity of the mobile terminal by using a gyroscope.
  • the terminal When detecting that the angular velocity of the mobile terminal is greater than the preset angular velocity, the terminal refuses to perform step 509 to end the process.
  • the mobile terminal controls an internal light source of the optical fingerprint recognition module to collect fingerprint data by using a target frequency and a target light source intensity.
  • the mobile terminal determines, by the AP, whether the fingerprint data matches the preset fingerprint template data. If yes, go to step 511; if not, go to step 512.
  • the mobile terminal determines to pass the fingerprint verification.
  • the mobile terminal determines not to pass the fingerprint verification.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, and determines the intensity of the light emitted by the internal light source according to the light intensity of the weakest frequency in the ambient light.
  • the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module can be minimized, the accuracy of the fingerprint data collected by the optical fingerprint can be improved, and the optical fingerprint matching success rate can be improved.
  • the fingerprint collection can be prevented from being triggered by mistake, and the internal light source of the optical fingerprint recognition module does not need to be triggered to work, thereby saving the power consumption of the optical fingerprint recognition module.
  • FIG. 6 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • the mobile terminal 600 includes an application processor AP601, an optical sensor 602, an optical fingerprint recognition module 603, and a memory 604; and one or more programs, wherein the optical fingerprint recognition module 603 includes an internal light source; the AP 601 can be connected through the data bus 605.
  • One or more programs are stored in memory 604 and are configured to be executed by AP 601, the program including instructions for performing the following steps:
  • control optical sensor 602 When receiving the fingerprint acquisition instruction, the control optical sensor 602 detects the ambient light intensity of at least two frequencies in the current ambient light, and transmits the light intensity of the at least two frequencies to the AP 601;
  • AP 601 Determining, by AP 601, a target frequency having the weakest ambient light intensity among ambient light intensities of at least two frequencies;
  • the internal light source of the optical fingerprint recognition module 603 is controlled to collect fingerprint data at a target frequency.
  • the program also includes instructions for performing the following steps:
  • the AP 601 obtains the intensity of the target light source corresponding to the weakest ambient light intensity according to the correspondence between the external ambient light intensity and the light source intensity;
  • the internal light source of the optical fingerprint recognition module 603 is controlled to collect fingerprint data at a target frequency, including:
  • the internal light source of the optical fingerprint recognition module 603 is controlled to collect fingerprint data at the target frequency and the target light source intensity.
  • the program also includes instructions for performing the following steps:
  • the program also includes instructions for performing the following steps:
  • the AP 601 If the current external ambient light intensity is less than the preset intensity, it is detected by the AP 601 whether the current time is in the preset black night time interval;
  • the step of controlling the internal light source of the optical fingerprint recognition module 603 to acquire the fingerprint data at the target frequency is performed.
  • the mobile terminal further includes a gyroscope 606, and the program further includes instructions for performing the following steps:
  • the angular velocity of the mobile terminal is measured by the gyroscope 606;
  • the step of controlling the internal light source of the optical fingerprint recognition module 603 to acquire the fingerprint data at the target frequency is refused.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, which can minimize the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module, thereby improving the fingerprint data collected by the optical fingerprint.
  • the accuracy is the accuracy.
  • FIG. 7 is a schematic structural diagram of an optical fingerprint collection device according to an embodiment of the present invention.
  • the optical fingerprint collection device 700 is applied to a mobile terminal including an application processor AP, an optical sensor, and an optical fingerprint recognition module.
  • the optical fingerprint recognition module includes an internal light source, and the optical fingerprint collection device 700 includes a detection unit 701, a determination unit 702, and an acquisition. Unit 703, wherein:
  • the detecting unit 701 is configured to: when the mobile terminal receives the fingerprint collection instruction, control the optical sensor to detect ambient light intensity of at least two frequencies in the current ambient light, and send the light intensity of the at least two frequencies to the AP.
  • the determining unit 702 is configured to use a target frequency at which the ambient light intensity is the weakest among the ambient light intensities of the at least two frequencies.
  • the collecting unit 703 is configured to control the internal light source of the optical fingerprinting module to collect fingerprint data at a target frequency.
  • the optical fingerprint collection device 700 further includes:
  • the determining unit 702 is further configured to determine, by the AP, the weakest ambient light intensity of the ambient light intensities of the at least two frequencies.
  • the obtaining unit 704 is configured to obtain, by the AP, the target light source intensity corresponding to the weakest ambient light intensity according to the correspondence between the ambient light intensity and the light source intensity.
  • the collecting unit 703 controls the internal light source of the optical fingerprinting module to collect the fingerprint data at the target frequency, and the specific manner is as follows:
  • the acquisition unit 703 controls the internal light source of the optical fingerprint recognition module to collect fingerprint data at the target frequency and the target light source intensity.
  • the optical fingerprint collection device 700 further includes:
  • the determining unit 705 is configured to determine, by the AP, whether the fingerprint data matches the preset fingerprint template data.
  • the determining unit 702 is further configured to: when the determining unit 705 determines that the result is YES, determine to pass the fingerprint verification.
  • the determining unit 705 is further configured to determine whether the total intensity of the current ambient light is less than a preset strength.
  • the detecting unit 701 is further configured to detect, by the AP, whether the current time is located in a preset night time interval when the total intensity of the current ambient light is less than the preset intensity.
  • the collecting unit 703 is further configured to: when the current time is in the preset black night time interval, control the internal light source of the optical fingerprint recognition module to collect the fingerprint data at the target frequency.
  • the mobile terminal further includes a gyroscope
  • the optical fingerprint collection device 700 further includes:
  • the measuring unit 706 is configured to measure an angular velocity of the mobile terminal by using a gyroscope when the current time is not in the preset black night time interval.
  • the rejecting unit 707 is configured to, when detecting that the angular velocity of the mobile terminal is greater than the preset angular velocity, refuse to perform the step of acquiring the fingerprint data by controlling the internal light source of the optical fingerprint recognition module to acquire the fingerprint data at the target frequency.
  • the internal light source collects fingerprint data by using the weakest frequency in the ambient light, which can minimize the influence of the ambient light on the fingerprint data collected by the optical fingerprint recognition module, thereby improving the fingerprint data collected by the optical fingerprint.
  • the accuracy is the accuracy.
  • the embodiment of the present invention further provides another mobile terminal.
  • FIG. 8 for the convenience of description, only parts related to the embodiment of the present invention are shown. If the specific technical details are not disclosed, refer to the method of the embodiment of the present invention. section.
  • the mobile terminal can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an in-vehicle computer, and the mobile terminal is used as a mobile phone as an example:
  • FIG. 8 is a block diagram showing a partial structure of a mobile phone related to a mobile terminal provided by an embodiment of the present invention.
  • the mobile phone includes: a radio frequency (RF) circuit 910 , a memory 920 , an input unit 930 , a display unit 940 , a sensor 950 , an audio circuit 960 , a wireless fidelity (WiFi) module 970 , and a processor 980 .
  • RF radio frequency
  • the RF circuit 910 can be used for receiving and transmitting information.
  • RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
  • LNA Low Noise Amplifier
  • RF circuitry 910 can also communicate with the network and other devices via wireless communication.
  • the above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), E-mail, Short Messaging Service (SMS), and the like.
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • LTE Long Term Evolution
  • E-mail Short Messaging Service
  • the memory 920 can be used to store software programs and modules, and the processor 980 executes various functional applications and data processing of the mobile phone by running software programs and modules stored in the memory 920.
  • the memory 920 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function, and the like; the storage data area may store data created according to usage of the mobile phone, and the like.
  • memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset.
  • the input unit 930 can include a fingerprint recognition module 931 (eg, an optical fingerprint recognition module), a touch display screen 932, and other input devices 933.
  • the fingerprint identification module 931 can collect fingerprint data of the user.
  • the input unit 930 may also include other input devices 933.
  • the other input device 933 may include, but is not limited to, one or more of a touch screen, a physical keyboard, function keys (such as a volume control button, a switch button, etc.), a trackball, a mouse, a joystick, and the like.
  • the display unit 940 can be used to display information input by the user or information provided to the user as well as various menus of the mobile phone.
  • the display unit 940 can include a display screen 941.
  • the display screen 941 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the fingerprint recognition module 931 and the display screen 941 function as two separate components to implement the input and input functions of the mobile phone, in some embodiments, the fingerprint recognition module 931 and the display screen 941 can be implemented. Integrated to achieve mobile phone input and fingerprint recognition.
  • the handset may also include at least one type of sensor 950, such as optical sensor 951, motion sensor 952, and other sensors.
  • the optical sensor 951 may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen 941 according to the brightness of the ambient light, and the proximity sensor may turn off the display screen 941 when the mobile phone moves to the ear. / or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in each direction (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, Related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, here Let me repeat.
  • An audio circuit 960, a speaker 961, and a microphone 962 can provide an audio interface between the user and the handset.
  • the audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961 for conversion to the sound signal by the speaker 961; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal by the audio circuit 960. After receiving, it is converted into audio data, and then processed by the audio data playback processor 980, sent to the other mobile phone via the RF circuit 910, or played back to the memory 920 for further processing.
  • WiFi is a short-range wireless transmission technology
  • the mobile phone can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 970, which provides users with wireless broadband Internet access.
  • FIG. 8 shows the WiFi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone, and may be omitted as needed within the scope of not changing the essence of the invention.
  • the processor 980 is the control center of the handset, which connects various portions of the entire handset using various interfaces and lines, by executing or executing software programs and/or modules stored in the memory 920, and invoking data stored in the memory 920, executing The phone's various functions and processing data, so that the overall monitoring of the phone.
  • the processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like.
  • the modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 980.
  • the handset also includes a power source 990 (such as a battery) that supplies power to the various components.
  • a power source 990 such as a battery
  • the power source can be logically coupled to the processor 980 through a power management system to manage functions such as charging, discharging, and power management through the power management system.
  • the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to execute any one of the optical fingerprint collection methods as described in the foregoing method embodiments. Some or all of the steps.
  • Embodiments of the present invention also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the above method embodiments Any or all of the steps of any optical fingerprint acquisition method.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a memory. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing memory includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Toxicology (AREA)
  • Optics & Photonics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Input (AREA)
  • Telephone Function (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Optical Communication System (AREA)

Abstract

L'invention concerne un procédé d'acquisition optique d'empreintes digitales, ainsi qu'un produit associé. Le procédé comprend les étapes suivantes : lors de la réception d'une instruction d'acquisition d'empreintes digitales, un terminal mobile amène un capteur optique à détecter les intensités de lumière ambiante d'au moins deux composantes de fréquence dans une lumière ambiante actuelle, puis envoie les intensités de lumière des au moins deux composantes de fréquence à un AP ; au moyen de l'AP, le terminal mobile détermine une fréquence cible correspondant à l'intensité de lumière ambiante la plus faible parmi les intensités de lumière ambiante des au moins deux composantes de fréquence ; et le terminal mobile amène une source de lumière interne dans un module d'identification optique d'empreintes digitales à acquérir des données d'empreintes digitales avec la fréquence cible. De cette façon, l'invention améliore la précision des données d'empreintes digitales d'une acquisition optique d'empreintes digitales.
PCT/CN2018/082212 2017-05-03 2018-04-08 Procédé d'acquisition optique d'empreintes digitales, et produit associé Ceased WO2018201849A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP18793987.1A EP3591579A4 (fr) 2017-05-03 2018-04-08 Procédé d'acquisition optique d'empreintes digitales, et produit associé
US16/584,959 US10963660B2 (en) 2017-05-03 2019-09-27 Method for fingerprint collection and related products

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710305875.6 2017-05-03
CN201710305875.6A CN107145886B (zh) 2017-05-03 2017-05-03 光学指纹采集方法及相关产品

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US16/584,959 Continuation US10963660B2 (en) 2017-05-03 2019-09-27 Method for fingerprint collection and related products

Publications (1)

Publication Number Publication Date
WO2018201849A1 true WO2018201849A1 (fr) 2018-11-08

Family

ID=59774512

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/082212 Ceased WO2018201849A1 (fr) 2017-05-03 2018-04-08 Procédé d'acquisition optique d'empreintes digitales, et produit associé

Country Status (4)

Country Link
US (1) US10963660B2 (fr)
EP (1) EP3591579A4 (fr)
CN (1) CN107145886B (fr)
WO (1) WO2018201849A1 (fr)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107220592B (zh) * 2017-05-03 2020-01-14 Oppo广东移动通信有限公司 一种光学指纹采集方法及相关产品
CN107145886B (zh) * 2017-05-03 2020-01-14 Oppo广东移动通信有限公司 光学指纹采集方法及相关产品
CN107918768B (zh) * 2017-11-28 2020-07-10 Oppo广东移动通信有限公司 光学指纹识别方法、装置及电子设备
CN108388786A (zh) * 2018-02-13 2018-08-10 北京小米移动软件有限公司 指纹解锁方法及装置
TWI650630B (zh) * 2018-04-03 2019-02-11 和碩聯合科技股份有限公司 電子裝置及其降頻方法
CN109409310B (zh) * 2018-11-05 2021-08-17 Oppo（重庆）智能科技有限公司 显示屏组件、电子设备及指纹识别方法
CN109614865B (zh) * 2018-11-06 2021-04-09 Oppo广东移动通信有限公司 指纹识别方法及相关产品
WO2020168540A1 (fr) * 2019-02-22 2020-08-27 深圳市汇顶科技股份有限公司 Appareil de reconnaissance d'empreintes digitales et dispositif électronique
CN110659609B (zh) * 2019-09-25 2022-09-16 Oppo（重庆）智能科技有限公司 指纹匹配方法、装置、电子设备及介质
CN111083384B (zh) * 2019-12-06 2021-12-07 Oppo广东移动通信有限公司 一种曝光调节方法、装置、电子设备及其存储介质
KR102667988B1 (ko) * 2020-04-08 2024-05-21 선전 구딕스 테크놀로지 컴퍼니, 리미티드 지문 인식 방법, 장치 및 전자 장치
CN114489410B (zh) * 2021-07-29 2023-11-17 荣耀终端有限公司 光斑显示方法、电子设备及计算机可读存储介质
CN113705545A (zh) * 2021-10-28 2021-11-26 深圳市亚略特生物识别科技有限公司 一种指纹采集方法、装置、电子设备及可读存储介质

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101030245A (zh) * 2006-03-03 2007-09-05 富士通株式会社 图像捕获装置
US20080317303A1 (en) * 2007-06-25 2008-12-25 Hitachi, Ltd. Imaging device and apparatus installed with the same
CN103329143A (zh) * 2011-01-18 2013-09-25 数据逻辑Adc公司 用于照明光学读码器的扫描体积的系统和方法
CN104392219A (zh) * 2014-11-21 2015-03-04 上海箩箕技术有限公司 生物信息识别方法及装置
CN104951748A (zh) * 2015-04-28 2015-09-30 广东光阵光电科技有限公司 一种假指纹识别方法及装置
CN106326836A (zh) * 2016-08-05 2017-01-11 厦门中控生物识别信息技术有限公司 一种指纹识别装置以及指纹识别的方法
CN107145886A (zh) * 2017-05-03 2017-09-08 广东欧珀移动通信有限公司 光学指纹采集方法及相关产品

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040252867A1 (en) * 2000-01-05 2004-12-16 Je-Hsiung Lan Biometric sensor
US7460696B2 (en) * 2004-06-01 2008-12-02 Lumidigm, Inc. Multispectral imaging biometrics
US7623689B2 (en) * 2003-11-18 2009-11-24 Canon Kabushiki Kaisha Image pick-up apparatus including luminance control of irradiation devices arranged in a main scan direction
CN101276406B (zh) * 2007-03-29 2011-05-04 鸿富锦精密工业（深圳）有限公司 指纹识别装置及便携式电子装置
CN201438308U (zh) * 2009-07-31 2010-04-14 深圳市中控生物识别技术有限公司 具有人脸识别功能的指纹识别装置
CN102360420B (zh) * 2011-10-10 2013-04-24 星越实业(香港)有限公司 双动态探测式生物特征人脸面相识别方法及系统
CN104200205A (zh) * 2014-09-03 2014-12-10 浙江工业大学 一种基于fpga的开放式手掌静脉采集装置及方法
CN104361276B (zh) * 2014-11-18 2017-07-18 新开普电子股份有限公司 一种多模态生物特征身份认证方法及系统
CN105045495B (zh) * 2015-06-23 2019-02-05 Oppo广东移动通信有限公司 一种移动终端的控制方法及移动终端
CN105208191B (zh) * 2015-08-13 2019-02-12 小米科技有限责任公司 模式切换方法及装置
CN105302596A (zh) * 2015-09-29 2016-02-03 努比亚技术有限公司 移动终端应用开启装置及方法
CN105184284B (zh) 2015-10-20 2018-09-21 杭州指安科技股份有限公司 一种背景照明颜色可变的光学指纹采集设备及设计方法
EP3248141A4 (fr) * 2015-11-02 2018-01-03 Shenzhen Goodix Technology Co., Ltd. Capteur d'empreintes digitales multifonction doté d'une détection optique contre les contrefaçons d'empreintes digitales
CN105809141B (zh) * 2016-03-17 2018-03-02 广东欧珀移动通信有限公司 屏幕组件、指纹采集和识别方法、移动终端及电子设备
FR3050854B1 (fr) * 2016-05-02 2023-07-14 Morpho Dispositif et procede de capture optique a differentes longueurs d’onde emises en sequence
CN106095295B (zh) * 2016-06-15 2020-09-25 维沃移动通信有限公司 一种基于指纹识别的处理方法和移动终端
CN106527952A (zh) * 2016-11-12 2017-03-22 宇龙计算机通信科技(深圳)有限公司 一种照明方法及移动终端
CN106453723B (zh) * 2016-12-06 2022-10-21 Oppo广东移动通信有限公司 传感器组件及终端

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101030245A (zh) * 2006-03-03 2007-09-05 富士通株式会社 图像捕获装置
US20080317303A1 (en) * 2007-06-25 2008-12-25 Hitachi, Ltd. Imaging device and apparatus installed with the same
CN103329143A (zh) * 2011-01-18 2013-09-25 数据逻辑Adc公司 用于照明光学读码器的扫描体积的系统和方法
CN104392219A (zh) * 2014-11-21 2015-03-04 上海箩箕技术有限公司 生物信息识别方法及装置
CN104951748A (zh) * 2015-04-28 2015-09-30 广东光阵光电科技有限公司 一种假指纹识别方法及装置
CN106326836A (zh) * 2016-08-05 2017-01-11 厦门中控生物识别信息技术有限公司 一种指纹识别装置以及指纹识别的方法
CN107145886A (zh) * 2017-05-03 2017-09-08 广东欧珀移动通信有限公司 光学指纹采集方法及相关产品

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3591579A4 *

Also Published As

Publication number Publication date
CN107145886B (zh) 2020-01-14
EP3591579A4 (fr) 2020-03-11
US20200026900A1 (en) 2020-01-23
US10963660B2 (en) 2021-03-30
CN107145886A (zh) 2017-09-08
EP3591579A1 (fr) 2020-01-08

Similar Documents

Publication Publication Date Title
TWI666593B (zh) 光學指紋驗證方法及行動終端
US10963661B2 (en) Method for optical fingerprint collection and related products
US10963660B2 (en) Method for fingerprint collection and related products
TWI679585B (zh) 指紋識別區域顯示方法及移動終端
TWI663541B (zh) 行動終端、指紋識別控制方法及裝置、電腦可讀儲存媒體及電腦程式產品
EP3620952B1 (fr) Procédé d'identification optique d'empreintes digitales et produit associé
WO2018196660A1 (fr) Procédé d'affichage de région de reconnaissance d'empreintes digitales et produits associés
TW201839658A (zh) 行動終端、指紋識別區域顯示方法及裝置
WO2018195921A1 (fr) Procédé de commande de déverrouillage et produit associé
CN107193473B (zh) 解锁控制方法及相关产品
CN107463897A (zh) 指纹识别方法及移动终端
CN107193470B (zh) 解锁控制方法及相关产品
CN107194226B (zh) 解锁控制方法及相关产品
CN107231461B (zh) 指纹的采集方法及相关产品
HK1241519B (zh) 光学指纹验证方法及相关产品
HK1241519A (en) Optical fingerprint verification method and related products
HK1241519A1 (en) Optical fingerprint verification method and related products

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18793987

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2018793987

Country of ref document: EP

Effective date: 20190930

NENP Non-entry into the national phase

Ref country code: DE